MLD Orientation 2017
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MLD Orientation Schedule
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Unless otherwise noted, all ML Orientation talks are in Gates-Hillman Center (GHC) 8102
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8/28/17Monday
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TimeSpeakerTopic
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8:30-9:00amBreakfast
Dorothy Holland-Minkley/Diane Stidle
Notes for Incoming Students
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9:00-9:45amProgram RequirementsWilliam Cohen & Geoff GordonMS & PhD Program requirements
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9:45-10:00amWelcome to SCSAndrew MooreWelcome from the Dean
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10:30-11:50amClass 10-715 in GHC 4307Barnabas PoczosAdvanced Intro to ML (PhD)
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12:30-1:20pmClass 36-705 in Baker Hall A51Siva BalakrishnanIntermediate Statistics
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1:30-2:50pmClass 10-725 in Wean Hall 7500
Pradeep Ravikumar/Aarti Singh
Convex Optimization
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3:00-4:20pmClass 10-701 in Wean Hall 7500Nina Balcan/Ziv Bar-JosephIntroduction to Machine Learning (ML MS students)
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4:30-5:00pmFaculty ResearchAmeet TalwalkarScalable Machine Learning Pipelines
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8/29/17Tuesday
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TimeSpeakerTopic
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9:00-11:50amClass 10-808 in GHC 5222Katerina FragkiadakiLanguage Grounding to Vision & Control
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12:00-1:15pm
Lunch in Newell-Simon Hall (NSH) 3305
Dann/Toneva/XiangLunch with current students
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1:30-2:50pm
Class 10-605/10-805 in Porter Hall 100
William CohenML with Large Datasets
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3:00-3:30pmFaculty ResearchSimon LuceyComputer Vision & Learning in the 3D World
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3:30-4:00pmFaculty ResearchRob KassDynamic Network Analysis in the Brain Sciences
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4:00-4:30pmFaculty ResearchBarnabas PoczosMachine Learning for Automated Science
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4:30-5:00pmFaculty ResearchMatt GormleyStructured Prediction for NLP
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8/30/17Wednesday
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TimeSpeakerTopic
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9:00-9:30amFaculty ResearchNihar ShahLearning from People
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9:30-10:00amFaculty ResearchFei FangMachine Learning for Sustainability
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10:30-11:50amClass 10-715 in GHC 4307Barnabas PoczosAdvanced Intro to ML (PhD)
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12:30-1:20pmClass 36-705 in Baker Hall A51Siva BalakrishnanIntermediate Statistics
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1:30-2:50pmClass 10-725 in Wean Hall 7500
Pradeep Ravikumar/Aarti Singh
Convex Optimization
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3:00-4:20pmClass 10-701 in Wean Hall 7500Nina Balcan/Ziv Bar-JosephIntroduction to Machine Learning (ML MS students)
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4:00-5:00pm
(Optional) Thesis Proposal in GHC 8102
Hanzhang HuTowards Near-optimal, Scalable and Practical Anytime Predictors
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4:30-5:00pmFaculty Research in GHC 6501Artur DubrawskiImpactful ML
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8/31/17Thursday
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TimeSpeakerTopic
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10:00-10:30amSCS Computing ServicesKatie GreagerWelcome to SCS Help Desk Services
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10:30-11:00amFaculty ResearchJeremy WeissNowcasting: temporal ML for health
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12:00-1:15pm
Lunch in Newell-Simon Hall (NSH) 3305
Natalie Sauerwald/ Cole Gleason
TechNights 12:20pm, GSA Talk at 12:30pm
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1:30-2:50pm
Class 10-605/10-805 in Porter Hall 100
William CohenML with Large Datasets
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3:00-3:30pmFaculty ResearchRoni RosenfeldForecasting Epidemics
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3:30-4:00pmFaculty ResearchAarti SinghFoundations of Data-efficient Learning
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4:00-4:30pmFaculty ResearchKaterina FragkiadakiLearning from Videos
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4:30-5:00pmFaculty ResearchLeman AkogluMining Patterns and Anomalies
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9/1/17Friday
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TimeSpeakerTopic
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9:30-10:00amFaculty ResearchRyan TibshiraniStat+ML, and Forecasting Epidemics II
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10:00-10:30amFaculty ResearchZiv Bar-JosephDimensionality reduction and distance learning for human cells
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10:30-11:00amFaculty ResearchRuss SalakhutdinovRecent Advances in Deep Learning
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11:00-11:30amFaculty ResearchAriel ProcacciaAI and Economics
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11:45-12:15pmLunchKevin Collins/Julie GoldsteinCareer & Professional Development Center (11:45-12:15)
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12:30-1:20pmClass 36-705 in Baker Hall A51Siva BalakrishnanIntermediate Statistics
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1:30-2:00pmFaculty ResearchDrew BagnellLearning to Make Decisions
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2:00-2:30pmFaculty ResearchTom MitchellTBA
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2:30-3:00pmFaculty ResearchWilliam CohenProbabilistic Logical Reasoning meets Deep Learning
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3:30-4:00pmFaculty ResearchGeoff Gordon/Roni RosenfeldIntro to DAP
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9/4/17Monday
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Labor Day - U.S. Holiday - No Classes
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9/5/17Tuesday
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TimeSpeakerTopic
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9:00-11:50amClass 10-808 in GHC 5222Katerina FragkiadakiLanguage Grounding to Vision & Control
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11:00-11:30amFaculty ResearchNina Balcan
Learning to Learn: Foundations of Modern Machine Learning and Algorithm
Design
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11:30-12:00pmFaculty ResearchPradeep RavikumarNormative, Comptastical Learning
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12:00-1:15pm
New Student Lunch with ML Dept. Head
Manuela Veloso
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1:30-2:50pm
Class 10-605/10-805 in Porter Hall 100
William CohenML with Large Datasets
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1:30-2:50pmClass 10-709 in GHC 4303Nihar ShahFundamentals of Learning from the Crowd
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3:00-3:30pmFaculty ResearchDavid HeldLearning for Object Manipulation
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3:30-4:00pmFaculty ResearchManuela Veloso
Learning and Transparency for Mobile Robots in Human Environments
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4:00-6:00pmMLD Department Party GHC 6115 (Group photo at 4:15)
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9/6/17Wednesday
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Time
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6:00-8:00pmAnnual Women@SCS Potluck
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